CN114444259A - Rain and sewage pipe network tracing and tracking system and method - Google Patents

Rain and sewage pipe network tracing and tracking system and method Download PDF

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CN114444259A
CN114444259A CN202111560072.8A CN202111560072A CN114444259A CN 114444259 A CN114444259 A CN 114444259A CN 202111560072 A CN202111560072 A CN 202111560072A CN 114444259 A CN114444259 A CN 114444259A
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陆海杰
张冰
屠秉坤
姚乾秦
何镔进
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Zhejiang Renxin Huankeyuan Co ltd
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Abstract

The invention provides a rain and sewage pipe network traceability tracking system and method, which comprises a rain and sewage pipe network visualization model, a water quality detection unit, a cloud module system and a GIS platform, wherein the rain and sewage pipe network visualization model comprising a four-stage pipeline system is constructed by the rain and sewage pipe network, a general inspection module and a branch inspection module of the water quality detection unit upload detection data to the cloud module system according to preset frequency, and the rain and sewage pipe network traceability tracking system can be applied to the current situation investigation and prediction analysis links of various environmental impact evaluations based on a geographic information system. The method increases the authenticity and convenience of the current data and improves the efficiency of predicting and evaluating the water environment influence.

Description

Rain and sewage pipe network tracing and tracking system and method
Technical Field
The invention relates to the technical field of hydrological detection technology and data analysis and processing, in particular to a rain and sewage pipe network tracing system and method.
Background
In the prior art, common water pollution tracing methods include a forward tracing method and a reverse problem deduction method, the forward tracing method is mainly based on isotope or microorganism tracing, and the measurement and inspection requirements on elements and microorganisms are high. The inverse problem derivation method is to reversely derive the pollution source parameters based on the information such as the pollutant concentration and the like acquired after the pollution occurs, and further calculate the position of the pollution source and the like, wherein the applied algorithm model comprises an SWMM-based model, a Bayesian algorithm, a genetic algorithm, a geostatistics statistical method, a reverse probability density method and the like. In the inverse problem deduction method, except that the Bayesian probability statistical method can be used for monitoring pollution monitoring data of the monitored section, other methods rarely consider the monitoring data, but the Bayesian method presents exponential increase of complexity and calculation time along with increase of parameters when the monitoring data are combined, and the efficiency is not high.
Patent CN201210150830.3 proposes a method for rapidly tracing water pollution by using organic matter species, anion species, metal elements and fluorescence information in sewage as chemical fingerprint information for identifying different sewages and pollution sources. The method has the disadvantages of large workload in the early stage, huge and redundant database, expensive instrument, poor actual operability and difficulty in popularization in actual application. Patent CN201911097844.1 discloses a method for realizing rapid tracing of sudden water pollution, which proposes a tracing method for sudden water pollution accident source of a two-dimensional straight river from the point of pure mathematics, mainly aiming at a straight river, and is not suitable for a curved river in a real environment. Patent CN202010717416.0 discloses a rain and sewage pipe network zero-direct-drainage tracing method, gather the drainage data and the basic information of drainage pipe of rain and sewage pipe network and important row of mouthful in the regional scope of city through zero-direct-drainage monitoring module, in real time with rain and sewage pipe network electronization, carry out state analysis through drainage data analysis unit with the basic information of drainage data and drainage pipe, basic information with drainage pipe sends the pipeline database, this scheme requires that the monitoring station lays a lot more, the expense is higher, and the equipment maintenance cost is high.
Disclosure of Invention
In view of this, the present invention aims to provide a rain and sewage pipe network tracing system and method, so as to solve the problems in the prior art that the rain and sewage pipe network tracing construction or maintenance use cost is too high, or the tracing benefit is low, and the tracing is not accurate.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a rain and sewage pipe network traceability tracking system, comprising:
the rain and sewage pipe network visualization model comprises a rain and sewage pipe network visualization model, a water quality detection unit, a cloud module system and a GIS platform, wherein the water quality detection unit is used for detecting water quality information and water flow information in a rain and sewage pipe network, the cloud module system can receive detection information of the water quality detection unit and is in communication connection with the GIS platform, the GIS platform can display the rain and sewage pipe network visualization model, and data information in the cloud module system is called according to the water quality information detected by the water quality detection unit.
Furthermore, the rain and sewage pipe network visualization model comprises a tree-shaped topological connection structure established according to a comprehensive Geographic Information System (GIS), and transmission paths and nodes of a rain and sewage pipe network, wherein the tree-shaped topological connection structure comprises a primary pipeline system, a secondary pipeline system, a main pipeline system and a main pipeline system which are sequentially arranged, and the main pipeline system collects water flows in rain and sewage pipes of other branch systems and flows to a sewage treatment plant or a river;
the water quality detection unit comprises a total detection module and a sorting module, the total detection module is arranged in a total main pipeline system, the sorting module is arranged in a primary pipeline system and/or a diode pipeline system and/or a main pipeline system, and the frequency of uploading detection data by the total detection module is higher than the frequency of uploading detection data by the sorting module;
the cloud module system comprises a geographical position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants corresponding to the water quality of a pipe network and a related pollution information model database, is in communication connection with the water quality detection unit and the GIS platform, and can receive the water quality information and the time information detected by the water quality detection unit and feed back the water quality information and the time information to the GIS platform;
when a traceability module in the GIS platform is started, the uploading frequency of the detection data of a general inspection module and a sorting module in the water quality detection unit is improved, and the preset time T is1In the method, according to the detected abnormal information and the information contrast analysis of a related pollution information model database in a cloud module system, the probability of the possible positions of a pollution source is graded in an off-line contrast analysis mode, a computing unit in a tracing module is started from high to low according to the probability grade, the related water quality monitoring points are detected by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and the preset time T is used2And (3) establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by the water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source in the pollution source tracing model, and acquiring pollutant emission tracing information.
Further, at a preset time T2A pollution source traceability model is built for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, traceability tracking of the position of a pollution source is carried out through a strategic management and control calculation model, and meanwhile, weather change factors, geographic position correction factors and environment temperature correction factors are introduced to dynamically correct the analysis result of the pollution source traceability model.
Further, the general inspection module is arranged at a distance before the pipe network enters the river and is arranged according to a preset time T3The detection data are uploaded to the cloud module system, the water flow direction river with qualified water quality data is detected and analyzed through the general detection module, the water flow direction reservoir with unqualified water quality data is analyzed through the general detection module, and the detection water in the reservoir flows to a sewage treatment plant.
Further, the go-no-go module includes one-level go-no-go module and second grade go-no-go module, one-level go-no-go module is including setting up the quality of water detection device in one-level pipeline or the second grade pipeline, the quality of water detection device of one-level go-no-go module can detect pH value, conductivity, temperature, turbidity, chemical oxygen demand and flow information, the second grade go-no-go module is including setting up the quality of water detection device at main pipe or main pipe and one-level pipe connection department or main pipe and second grade pipe connection department, the second grade go-no-go module can detect pH value, conductivity, temperature, turbidity, chemical oxygen demand, flow information and peripheral common pollutant detection module.
The invention also discloses a rain and sewage pipe network tracing method, which comprises the following steps:
s1: a cloud module system is constructed, and a geographic position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants of the corresponding pipe network water quality and an associated pollution information model database are constructed in the cloud module system;
s2: collecting basic data of a pipe network, butting data of a geographic information platform and municipal rainwater and sewage pipe networks, constructing a rainwater and sewage pipe network visual model, determining a transmission path and nodes of the pipe network, carrying out four-stage division on a topological structure of the rainwater and sewage pipe network, arranging a sorting module in a primary pipeline system and/or a secondary pipeline system and/or a main pipeline system, arranging a general inspection module in a main pipeline system, wherein the general inspection module and the sorting module are used for detecting water quality and water quantity information of a monitoring part in the rainwater and sewage pipe and can upload the information to a cloud module system;
s3: the GIS platform compares the detection of the water quality detection unit fed back by the cloud module system with a normal parameter threshold preset in a daily normal discharge threshold information database of main pollutants of the water quality of the corresponding pipe network, and if the detected water quality is abnormal, the GIS platform enters S4, otherwise, the GIS platform enters S6;
s4: the source tracing module in the GIS platform is started, the uploading frequency of the detection data of the general detection module and the sorting module in the water quality detection unit is improved, and the preset time T is1And according to the detected abnormal information and the number of the associated pollution information models in the cloud module systemDatabase information comparison and analysis, namely grading the probability of possible positions of the pollution source by adopting an off-line comparison and analysis mode;
s5: starting a calculating unit in the tracing module from high to low according to the probability grade, detecting related water quality monitoring points by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and detecting the related water quality monitoring points according to the preset time T2Establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source tracing model, and acquiring pollutant emission tracing information;
s6: and discharging the detected normal water into a river system according to the requirement.
Further, in step S2, the total inspection module checks the preset time T3Uploading detection data to a cloud module system, and enabling a sorting module to perform sorting according to preset time T4Uploading detection data to a cloud module system, wherein T3＜T4。
Further, in step S2, the sorting module includes a primary sorting module and a secondary sorting module, and at least one of the primary sorting module and the secondary sorting module is configured to perform sorting according to the preset time T3And uploading the detection data to the cloud module system.
Further, in step S4, the associated pollution information model database includes a threshold range and a variation curve within a preset time of the detection data in the water quality detection unit after the previous pollutant discharge, and further includes a threshold range and a variation curve within a preset time of the detection data in the water quality detection unit after the pollutant discharge, which are learned according to the sample training, at T1In time, an offline comparison analysis mode is adopted, enterprise information corresponding to the pollutant exceeding detection in the rain and sewage pipe network visualization model is combined, the probability of the possible existing position of the pollution source is divided into four levels, namely, level I, level II, level III and level IV, wherein the level I is the level with the highest probability of the existing position of the pollution source, and the change thresholds of the detection values of the total detection module and the classification module of the enterprise and the water quality detection unit corresponding to the pollutant are used for detecting the pollutantsThe value, the change curve of the detection value of the general detection module and the classification module of the water quality detection unit correspond to the information in the associated pollution information model database; the level II is a level with higher probability of the position of the pollution source, and two of change curves of detection values of the enterprise and the water quality detection unit corresponding to the pollutants, the total detection module and the classification module of the water quality detection unit correspond to information in the associated pollution information model database; the grade III is a grade with lower probability of the position of the pollution source, and one of the change curves of the detection values of the enterprise and the water quality detection unit, which correspond to the pollutants, the total detection module and the classification module of the water quality detection unit corresponds to the information in the associated pollution information model database; and the IV grade is a grade with lower probability of possibly generating the position of the pollution source, and the position where the pollution source possibly exists is listed by the associated pollution information model database according to the detected pollutant information and the change curve after training and learning.
Further, in step S5, when the pollution source location, the leakage time, and the leakage amount information are solved by the pollution source tracing model, the computing units in the tracing module are sequentially turned on according to the probability level of the possible existing location of the pre-positioned pollution source and the pollution discharge occurrence probability from high to low.
Further, in step S5, when acquiring pollutant emission tracing information according to solving calculation, highlighting the emission tracing information in a general inspection module, a classification module and a related pipeline of a related water quality detection unit in a rain and sewage pipe network visualization model, and providing a variation curve of the pollutant concentration of nodes of the related general inspection module and the classification module, wherein if the variation range of the variation curve is consistent with the variation trend of a related pollution source prestored in a related pollution information model database within the same time after emission, the variation range is close, that is, the pollutant emission tracing information is determined to be the real pollutant emission tracing information; if only one of the variation amplitude and the variation trend is matched, determining that the pollutant emission traceability information is high-probability pollutant emission traceability information; if the amplitude of the variation is equal toIf the variation trends are not matched, determining that the pollutant emission tracing information is low-probability pollutant emission tracing information, and if the variation trends are not matched within the preset time T, determining that the pollutant emission tracing information is low-probability pollutant emission tracing information5And if the true pollutant emission traceability information cannot be obtained, manually sampling and detecting the water sample at the high-probability pollutant emission traceability information and/or the low-probability pollutant emission traceability information.
Compared with the prior art, the rain and sewage pipe network tracing and tracking system and method have the following advantages:
(1) the rain and sewage pipe network traceability tracking system can reduce the uploading frequency of detection data of a sorting module in a water quality detection unit, reduce the waste of resources and reduce the maintenance cost of system operation, can quickly determine a region where pollutant emission occurs through offline comparison analysis when the detection data is abnormal, realize quick locking of a high-risk emission position, further provide powerful support for manual traceability or automatic traceability, construct a pollution source traceability model through actual measured values and simulated values of pollutants detected by water quality monitoring points at different moments, analyze and calculate the pollution source position, leakage time and leakage amount information in the pollution source traceability model, accurately, quickly and reliably obtain pollutant emission source information, quickly position a pollution source, effectively reduce environmental pollution loss and improve the illegal cost of an steal enterprise, and theft and stealing are reduced.
(2) According to the method for tracing the source of the rain and sewage pipe network, the GIS platform, the rain and sewage pipe network visual model and the cloud big data are combined, when abnormal water quality is detected, the source tracing module in the GIS platform is started, the uploading frequency of the data detected by the general inspection module and the sorting module in the water quality detection unit in the related rain and sewage pipe is improved, the pre-positioning of the emission of a pollution source is quickly carried out by utilizing the big data analysis, then the pollution source tracing model is constructed through the data detected by the water quality detection unit according to the pre-positioned position, the pollution emission tracing information is quickly obtained, the quick and accurate positioning of the pollution source is realized, and the environmental pollution loss is reduced.
(3) According to the rain and sewage pipe network tracing and tracking system and method, the detection module setting mode is improved, the reasonable and reliable tracing and tracking method is set, the precision rate and reliability of pollution source positioning are greatly improved, and the construction cost and the operation and maintenance cost of the system are reduced.
(4) The invention relates to a rain and sewage pipe network tracing and tracking system and a method, which are based on a Geographic Information System (GIS), can be applied to the current situation investigation and prediction analysis links of various environmental impact evaluations, increase the authenticity and convenience of current situation data, extract water quality monitoring data with high precision, strong force and reliability in the past period by taking the Geographic Information System (GIS) as a support, calculate the discharge amount of water pollutants, analyze water environment load, predict and evaluate the water environment impact, and improve the water environment impact prediction and evaluation efficiency.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic view of pipe network topology connection of a rain and sewage pipe network tracing system according to an embodiment of the present invention;
FIG. 2 is a logic diagram illustrating a flow of a method for tracing a source of a storm sewer network according to an embodiment of the present invention;
Detailed Description
In order to make the technical means, objectives and functions of the present invention easy to understand, embodiments of the present invention will be described in detail with reference to the specific drawings.
It should be noted that all terms used in the present invention for directional and positional indication, such as: the terms "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "inner", "outer", "top", "lower", "lateral", "longitudinal", "center", and the like are used only for explaining the relative positional relationship, connection, and the like between the respective members in a certain state (as shown in the drawings), and are only for convenience of describing the present invention, but do not require that the present invention must be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning a fixed connection, a removable connection, or an integral connection; may be a mechanical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Example 1
The invention discloses a rain and sewage pipe network tracing system, which comprises:
the rain and sewage pipe network visualization model comprises a tree-shaped topological connection structure established according to a comprehensive Geographic Information System (GIS), and transmission paths and nodes of a rain and sewage pipe network, wherein the tree-shaped topological connection structure comprises a primary pipeline system, a secondary pipeline system, a main pipeline system and a main pipeline system which are sequentially arranged, and the main pipeline system collects water flows in rain and sewage pipes of other branch systems and flows to a sewage treatment plant or a river;
the water quality detection unit comprises a total detection module and a sorting module, wherein the total detection module is arranged in a total main pipeline system, the sorting module is arranged in a primary pipeline system and/or a diode pipeline system and/or a main pipeline system, and the frequency of uploading detection data by the total detection module is higher than the frequency of uploading detection data by the sorting module;
the cloud module system comprises a geographical position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants corresponding to the water quality of a pipe network and a correlation pollution information model database, is in communication connection with the water quality detection unit and the GIS platform, and can receive the water quality information and the time information detected by the water quality detection unit and feed back the water quality information and the time information to the GIS platform;
the GIS platform can display the rain and sewage pipe network visual model, detects whether the water quality in the rain and sewage pipe network is abnormal or not according to the water quality information detected by the water quality detection unit and the data information in the cloud module system, starts the traceability module in the GIS platform if the water quality is abnormal, improves the uploading frequency of the detection data of the general detection module and the sorting module in the water quality detection unit, and presets time T1In the method, according to the detected abnormal information and the information contrast analysis of a related pollution information model database in a cloud module system, the probability of the possible positions of a pollution source is graded in an off-line contrast analysis mode, a computing unit in a tracing module is started from high to low according to the probability grade, the related water quality monitoring points are detected by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and the preset time T is used2And (3) establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by the water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source in the pollution source tracing model, and acquiring pollutant emission tracing information.
The invention discloses a rain and sewage pipe network tracing and tracking system, which constructs a rain and sewage pipe network visual model of tree-shaped topological connection relation for a rain and sewage pipe network, wherein a primary pipeline system in the model comprises a rain and sewage pipe drainage pipeline near a living community, a secondary pipeline system comprises a rain and sewage pipe drainage pipeline near an industrial area, and a primary pipeline system comprises a primary drainage pipeline and a secondary drainage pipeThe drainage pipeline after pipeline mixing, the main pipeline system comprises the pipeline which flows to a sewage treatment plant or a river after the main pipeline system is collected, as shown in figure 1, J1111-J1172 are nodes in a first-level pipeline network, J2111-J2152 are nodes in a second-level pipeline network, J311-J325 are nodes in a third-level pipeline network, and J41 are nodes in a fourth-level pipeline network, because the common pollutants or pollution modes in the first-level pipeline system and the second-level pipeline system are different, the water quality detection units are arranged in stages and are respectively arranged in different pipelines of the pipeline network, the frequency of uploading detection data to the cloud module system through the general detection module and the branch detection module is reasonably arranged, the maintenance cost of the detection operation of the water quality detection unit in a branch pipeline before the main pipeline system is reduced, and meanwhile, the general detection module arranged in the main pipeline system can accurately detect whether the water quality information in the main pipeline system is abnormal or not, the method includes the steps that a pollution source enters an undetected rainwater and sewage pipe network system in a leakage pipe, misconnection pipe or steal drainage mode, when a GIS platform receives detection data collected by a cloud module system, the daily normal emission threshold value information number of main pollutants corresponding to water quality in the rainwater and sewage pipe network system in the cloud module system is called, if abnormity occurs, a traceability module in the GIS platform is started, after the traceability module is started, the frequency of uploading the detection data by a main inspection module and a branch inspection module which are working in a water quality detection unit is changed into 10 s-30 s once, and according to the detected pollutant numerical value information, the pollution source enters the undetected rainwater and sewage pipe network system within a preset time T1Inner, T1The optimal value of the time parameter is 2-10 min, the time parameter is set according to experience at T, and the optimal time is matched with the information of an associated pollution information model database corresponding to the rain and sewage pipe network system, wherein the associated pollution information model database comprises a threshold range of detection data in a water quality detection unit after pollutant emission and a change curve within preset time in the past, and also comprises a threshold range of detection data in a water quality detection unit after pollutant emission and a change curve within preset time after training and learning according to samples1In time, an offline comparison analysis mode is adopted, and enterprises corresponding to the overproof pollutant detection in the rain and sewage pipe network visualization model are combinedInformation, namely rapidly grading the probability of possible positions of the pollution source, preferably, the probability can be graded into four grades of I, II, III and IV, and the four areas where the pollution source possibly exists are respectively displayed in a rainwater and sewage pipe network visualization model by different colors, wherein the grade I is the grade with the highest probability of the position of the pollution source, and the change thresholds of detection values of a total inspection module and a classification module of an enterprise and a water quality detection unit corresponding to pollutants, and the change curves of the detection values of the total inspection module and the classification module of the water quality detection unit correspond to the information in an associated pollution information model database; the level II is a level with higher probability of the position of the pollution source, and two of change curves of detection values of the enterprise and the water quality detection unit corresponding to the pollutants, the total detection module and the classification module of the water quality detection unit correspond to information in the associated pollution information model database; the grade III is a grade with lower probability of the position of the pollution source, and one of the change curves of the detection values of the enterprise and the water quality detection unit, which correspond to the pollutants, the total detection module and the classification module of the water quality detection unit corresponds to the information in the associated pollution information model database; the IV grade is a grade with lower probability of possibly occurring a pollution source position, and the associated pollution information model database lists the position where the pollution source possibly exists according to detected pollutant information and a change curve after training and learning; then according to the mode that the probability level of the position of the pollution source is from high to low, a computing unit in the tracing module is started, the related water quality monitoring points are detected by starting a pipeline in the current probability level and a general detection module and a classification module of a water quality detection unit on an upstream pipeline, under the state, the frequency of uploading detection data of the general detection module and the classification module of the water quality detection unit in the current probability level is changed into real-time acquisition and uploading, and the preset time T is used for uploading the detection data2Establishing a pollution source tracing model for measured values and simulated values of pollutants detected by water quality monitoring points at different moments, T2The optimal value of the time sequence is 5-30 min, the position, the leakage time and the leakage amount information of the pollution source in the pollution source tracing model are analyzed and calculated, and the pollutant emission is obtainedAnd (6) releasing the tracing information.
The rain and sewage pipe network tracing and tracking system can reduce the uploading frequency of the detection data of the sorting module in the water quality detection unit, reduce the waste of resources and reduce the maintenance cost of the system operation when in use, when the detection data is abnormal, the area where pollutant emission occurs can be quickly determined through off-line comparison analysis, the quick locking of the high-risk emission position is realized, further provides powerful support for manual tracing or automatic tracing, a pollution source tracing model is constructed through measured values and simulated values of pollutants detected by water quality monitoring points at different moments, the position, leakage time and leakage amount information of the pollution source in the pollution source tracing model are analyzed and calculated, pollutant emission tracing information is accurately, quickly and reliably obtained, the pollution source is quickly positioned, the environmental pollution loss can be effectively reduced, the illegal cost of the steal and arrange enterprises can be improved, and the steal and arrange can be reduced.
In the example of the invention, at a preset time T2A pollution source traceability model is built for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, traceability tracking of the position of a pollution source is carried out through a strategic management and control calculation model, and meanwhile, weather change factors, geographic position correction factors and environment temperature correction factors are introduced to dynamically correct the analysis result of the pollution source traceability model.
When the source tracing module works, due to weather changes, such as sunny days and rainy days, the detection influence of water flow and water quality in the rainwater and sewage pipe can be influenced, water flow detection data is taken as the main data in sunny days, and water quality data detection is taken as the main data in rainy days. The device can be quickly and accurately positioned to the discharge position of the pollution source. The geographical position has interference on detection of pollutants, and different regions, such as southern cities, northern cities, coastal cities, resource cities and the like have differences in geology, water resources and pollutants in each region, and the influence of air temperature and humidity is similar to that of the geographical environment, so that the influence of weather change factors, geographical position correction factors and environment temperature correction factors is fully considered when a pollution source tracing model is constructed, the pollution source tracing models in different regions, different weathers and different temperatures are corrected in a manner similar to that of correction factors of influences of regions, weathers, temperatures and the like in the prior art, and repeated description is omitted, so that the purpose of quickly, accurately and reliably realizing pollution source tracing and positioning is realized.
Wherein, when constructing the source tracing model of pollution source, the quality of water simulation shape in the rain sewage pipe is the unsteady state quality of water model of one-dimensional, and the quality of water model includes:
Figure BDA0003420248060000111
Figure BDA0003420248060000112
wherein U represents the longitudinal flow velocity in the pipe network, D represents the longitudinal diffusion coefficient in the pipe network, K represents the first-order attenuation coefficient of the pollutant, t represents the pollutant emission time, x represents the pollutant source emission position, C represents the pollutant source concentration at the position of the pollutant source x along the river course direction at the moment t after the pollution event occurs, and m represents the pollutant emission intensity in unit area of the pollutant source.
In this embodiment, the lateral and blowing flows in the pipe network are almost negligible, and therefore, a one-dimensional water quality model can be constructed to simulate the transportation process after the pollution source is discharged without pollution.
This setting can be through the mode of constructing pollution source traceability model, and quick, the high efficiency acquires pollutant emission traceability information, improves work efficiency.
In addition, when the pollution source tracing system is established, other methods for establishing a water quality model and calculation methods in the prior art can be adopted, and the position of the pollution source, the leakage time and the leakage amount information can be quickly solved through a tracing simulation formula in the pollution source tracing model according to detection data uploaded by a total detection module and a branch detection module of a water quality detection unit in a probability grade area related pipe network of offline comparison analysis.
As the inventionIn a preferred example of the method, the general inspection module is arranged at a distance before the pipe network enters the river and is arranged according to a preset time T3The detection data are uploaded to the cloud module system, the water flow direction river with qualified water quality data is detected and analyzed through the general detection module, the water flow direction reservoir with unqualified water quality data is analyzed through the general detection module, and the detection water in the reservoir flows to a sewage treatment plant. As an example of the invention, the total detection module can detect information such as pH value, conductivity, temperature, turbidity, chemical oxygen demand, total nitrogen, total phosphorus, ammonia nitrogen, copper, mercury, nickel, cyanide and aniline of a water sample in a pipe network, and preferably, the T is T, and the like3The value range of (A) is 10 min-30 min.
As an example of the invention, the water flow detected to be qualified by the general inspection module can be treated according to preset conditions and then discharged into a river system or directly discharged into the river system, and the water flow detected to be unqualified by the general inspection module flows into a reservoir according to the information of the pollution source and then enters a corresponding sewage treatment plant.
The arrangement reduces the number of the general inspection modules, further reduces the construction cost of the rain and sewage pipe network tracing and tracking system, can ensure that pollutants in the rain and sewage pipe can enter a local river system only after being correspondingly processed, intercepts water flow with abnormal detection data into a reservoir, then flows to a drainage plant for processing corresponding pollutants, and simultaneously reduces the sewage treatment cost.
As a preferred example of the present invention, the sorting module includes a primary sorting module and a secondary sorting module, the primary sorting module includes a water quality and quantity detection device disposed in the primary pipeline or the secondary pipeline, the water quality and quantity detection device of the primary sorting module can detect pH, conductivity, temperature, turbidity, chemical oxygen demand, and flow information, the secondary sorting module includes a water quality and quantity detection device disposed at the main pipeline or at the connection of the main pipeline and the primary pipeline or at the connection of the main pipeline and the secondary pipeline, and the secondary sorting module can detect the pH, conductivity, temperature, turbidity, chemical oxygen demand, flow information, and a peripheral common pollutant detection module. The peripheral common pollutant detection module is a pollutant detection device with high probability of occurrence according to information such as peripheral enterprise operation content or living area population density and living area classification information, and can be arranged in a targeted mode according to experience or big data recommendation.
According to the rain and sewage pipe network traceability tracking system, different detection functions are given to the sub-detection modules in different pipeline systems, on one hand, the existing detection equipment can be used for detection, meanwhile, the influence pollutants can be accurately detected due to high targeted emission probability, corresponding water quality data can be obtained, and the construction cost of the rain and sewage pipe network traceability tracking system is further effectively reduced.
The invention discloses a rain and sewage pipe network tracing and tracking system which is based on a Geographic Information System (GIS), can be applied to the current situation investigation and prediction analysis links of various environmental impact evaluations, extracts water quality monitoring data with high precision, strength and reliability in the past period by taking the Geographic Information System (GIS) as a support, calculates the discharge amount of water pollutants, analyzes the water environment load, and predicts and evaluates the water environment impact.
The method increases the authenticity and convenience of the current data and improves the efficiency of predicting and evaluating the water environment influence.
As shown in fig. 2, the invention also discloses a rain and sewage pipe network tracing method, which comprises the following steps:
s1: a cloud module system is constructed, and a geographic position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants of the corresponding pipe network water quality and an associated pollution information model database are constructed in the cloud module system;
s2: collecting basic data of a pipe network, butting data of a geographic information platform and municipal rainwater and sewage pipe networks, constructing a rainwater and sewage pipe network visual model, determining a transmission path and nodes of the pipe network, carrying out four-stage division on a topological structure of the rainwater and sewage pipe network, arranging a sorting module in a primary pipeline system and/or a secondary pipeline system and/or a main pipeline system, arranging a general inspection module in a main pipeline system, wherein the general inspection module and the sorting module are used for detecting water quality and water quantity information of a monitoring part in the rainwater and sewage pipe and can upload the information to a cloud module system;
s3: the GIS platform compares the detection of the water quality detection unit fed back by the cloud module system with a normal parameter threshold preset in a daily normal discharge threshold information database of main pollutants of the water quality of the corresponding pipe network, and if the detected water quality is abnormal, the GIS platform enters S4, otherwise, the GIS platform enters S6;
s4: the source tracing module in the GIS platform is started, the uploading frequency of the detection data of the general detection module and the sorting module in the water quality detection unit is improved, and the preset time T is1According to the detected abnormal information and the information comparison analysis of the associated pollution information model database in the cloud module system, the probability of possible positions of the pollution source is graded in an off-line comparison analysis mode;
s5: starting a calculating unit in the tracing module from high to low according to the probability grade, detecting related water quality monitoring points by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and detecting the related water quality monitoring points according to the preset time T2Establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source tracing model, and acquiring pollutant emission tracing information;
s6: and discharging the detected normal water into a river system according to the requirement.
According to the method for tracing the source of the rain and sewage pipe network, the source tracing module in the GIS platform is started through the combination of the GIS platform, the visual model of the rain and sewage pipe network and cloud big data when abnormal water quality is detected, the uploading frequency of data detected by the general inspection module and the sorting module in the water quality detection unit in the relevant rain and sewage pipe is improved, the pre-positioning of pollutant emission is rapidly carried out through big data analysis, then the pollution source tracing model is constructed through the data detected by the water quality detection unit according to the pre-positioned position, the pollutant emission tracing information is rapidly obtained, the rapid and accurate positioning of a pollution source is realized, the environmental pollution loss is reduced, the illegal cost of an steal-exhaust enterprise is improved, and steal exhaust is reduced.
As the inventionIn a preferred example, in step S2, the total inspection module checks the preset time T3Uploading detection data to a cloud module system, and enabling a sorting module to perform sorting according to preset time T4Uploading detection data to a cloud module system, wherein T3＜T4. As an example of the present invention, T3The value range of (A) is 10 min-30 min; t is4The value range of (A) is 60 min-240 min.
In the rain and sewage pipe network tracing and tracking method, the detection data of the general detection module is finally used as a prerequisite for discharging to a river system, so that the uploading frequency of the detection data of the general detection module needs to be increased, the sorting module is applied to quick discovery and quick early warning, the uploading frequency of the detection data can be properly reduced, the environmental pollution loss is avoided, and the cost of system operation and maintenance is reduced.
As a preferred example of the present invention, in step S2, the sorting module includes a primary sorting module and a secondary sorting module, and at least one of the primary sorting module and the secondary sorting module is configured to perform sorting according to a preset time T3And uploading the detection data to the cloud module system. In the invention, by operating part of the detection data uploading frequency of the sorting module according to the detection data uploading frequency of the general detection module, on the premise of saving the maintenance cost of system operation, on one hand, the detection data in the sorting module and the detection data in the general detection module are matched and supported, when the data detected by the sorting module is abnormal, the abnormal water quality is still judged, the detection precision is further improved, the environmental pollution loss caused by sewage flowing into a river system is avoided, and on the other hand, when the sorting module detects the abnormal water quality information, the early warning and the tracing can be realized more quickly, and the environmental pollution loss is further reduced.
As a preferred example of the present invention, in step S2, the preset time T is counted3The sorting module for uploading the detection data to the cloud module system can perform detection uploading according to preset operation data, and can also randomly grab the sorting module with related numbers to perform detection uploading. Preferably, according to a preset time T3First level of uploading detection data to cloud module systemThe sorting module and the secondary sorting module belong to two detection modules at different positions in the associated rainwater and sewage pipe.
The device further improves the reliability and the accuracy of the work of the rain and sewage pipe network tracing and tracking method.
As a preferred example of the present invention, in step S4, the correlated pollution information model database includes a threshold range of detection data in the water quality detection unit after the previous pollutant discharge and a variation curve within a preset time, and further includes a threshold range of detection data in the water quality detection unit after the pollutant discharge and a variation curve within a preset time, which are learned according to the sample training, at T1In time, dividing the probability of the possible existing position of a pollution source into four levels of I, II, III and IV by adopting an off-line comparison analysis mode and combining enterprise information corresponding to the overproof pollutant detection in a rainwater and sewage pipe network visualization model, wherein the level I is the level with the highest probability of the existing position of the pollution source, and the enterprises corresponding to the pollutant, the change threshold of the detection values of a total inspection module and a classification module of a water quality detection unit and the change curve of the detection values of the total inspection module and the classification module of the water quality detection unit correspond to the information in an associated pollution information model database; the level II is a level with higher probability of the position of the pollution source, and two of change curves of detection values of the enterprise and the water quality detection unit corresponding to the pollutants, the total detection module and the classification module of the water quality detection unit correspond to information in the associated pollution information model database; the grade III is a grade with lower probability of the position of the pollution source, and one of the change curves of the detection values of the enterprise and the water quality detection unit, which correspond to the pollutants, the total detection module and the classification module of the water quality detection unit corresponds to the information in the associated pollution information model database; and the IV grade is a grade with lower probability of possibly generating the position of the pollution source, and the position where the pollution source possibly exists is listed by the associated pollution information model database according to the detected pollutant information and the change curve after training and learning.
As a preferred example of the invention, four areas where pollution sources are likely to appear are displayed in a rainwater and sewage pipe network visualization model by different colors respectively, and are marked by four colors of red, orange, yellow and blue according to the occurrence probability of the emission of the pollution sources, namely, the grade I is marked by red, the grade II is marked by orange, the grade III is marked by yellow, and the grade IV is marked by blue.
This setting utilizes the basic data collection of big data, according to similar or relevant or time in the past, region, the data of gathering of weather, through strategic management and control, constantly fuses training study, acquires the threshold value scope of detection data and the change curve in the time of predetermineeing in the pollutant emission back water quality testing unit to constantly improve efficiency and precision in the prepositioning.
As a better example of the invention, each detection time of the total detection module and the sorting module lasts 2-5 s, and related detection data are uploaded in real time. This arrangement avoids the effect of error due to incidental fluctuations.
As a preferred example of the present invention, in step S5, when the pollution source location, the leakage time, and the leakage amount information are solved by the pollution source tracing model, the computing units in the tracing module are sequentially turned on according to the probability level of the possible existing location of the predetermined position pollution source, and according to the sequence from high to low of the pollution discharge occurrence probability.
The method further optimizes the calculation data, and obtains the pollutant emission traceability information accurately and efficiently.
As a preferred example of the present invention, in step S5, when obtaining the pollutant discharge tracing information according to the solving calculation, highlighting the discharge tracing information in the general inspection module, the classification module and the related pipelines of the related water quality detection unit in the rain and sewage pipe network visualization model, and providing the variation curve of the pollutant concentration at the nodes of the related general inspection module and the classification module, if the variation range of the variation curve is consistent with the variation trend in the same time after the discharge of the related pollution source pre-stored in the related pollution information model database, and the variation range is close, then determining that the pollutant discharge tracing information is the real pollutant discharge tracing information; if only one of the variation amplitude and the variation trend is matched, determining that the pollutant emission traceability information is high-probability pollutant emission traceability information; and if the variation amplitude and the variation trend are not matched, determining that the pollutant emission traceability information is low-probability pollutant emission traceability information.
The source tracing accuracy, rapidity and reliability of the rain and sewage pipe network source tracing method are further improved.
Preferably, if the actual pollutant emission traceability information cannot be obtained and determined after the I level, the II level, the III level and the IV level are solved according to the computing unit in the traceability module, the general inspection module and the sorting module of the water quality detection unit in the region range of the I level, the II level, the III level and the IV level are continuously uploaded in real time until the actual pollutant emission traceability information is obtained according to the detection data and the traceability module.
If at the preset time T5And if the true pollutant emission traceability information cannot be obtained, manually sampling and detecting the water sample at the high-probability pollutant emission traceability information and/or the low-probability pollutant emission traceability information. As an example of the present invention, T1、T2、T3、T4、T5The parameter values given in the description are merely reference descriptions for preferred examples for empirically predetermined time parameters.
As a preferred example of the present invention, the total inspection module and the sorting module further include a camera function module. This setting makes the GIS platform can the audio-visual rivers state of general inspection module and the branch inspection module setting department of observation.
As a preferred example of the invention, the GIS platform ARCGIS system platform.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

Claims (10)

1. A rain and sewage pipe network tracing system is characterized by comprising: the rain and sewage pipe network visualization model comprises a rain and sewage pipe network visualization model, a water quality detection unit, a cloud module system and a GIS platform, wherein the water quality detection unit is used for detecting water quality information and water flow information in a rain and sewage pipe network, the cloud module system can receive detection information of the water quality detection unit and is in communication connection with the GIS platform, the GIS platform can display the rain and sewage pipe network visualization model, and data information in the cloud module system is called according to the water quality information detected by the water quality detection unit.
2. The rain and sewage pipe network traceability tracking system of claim 1, wherein,
the rain and sewage pipe network visualization model comprises a tree-shaped topological connection structure established according to a comprehensive Geographic Information System (GIS), and transmission paths and nodes of a rain and sewage pipe network, wherein the tree-shaped topological connection structure comprises a primary pipeline system, a secondary pipeline system, a main pipeline system and a main pipeline system which are sequentially arranged, and the main pipeline system collects water flows in rain and sewage pipes of other branch systems and flows to a sewage treatment plant or a river;
the water quality detection unit comprises a total detection module and a sorting module, the total detection module is arranged in a total main pipeline system, the sorting module is arranged in a primary pipeline system and/or a diode pipeline system and/or a main pipeline system, and the frequency of uploading detection data by the total detection module is higher than the frequency of uploading detection data by the sorting module;
the cloud module system comprises a geographical position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants corresponding to the water quality of a pipe network and a correlation pollution information model database, is in communication connection with the water quality detection unit and the GIS platform, and can receive the water quality information and the time information detected by the water quality detection unit and feed back the water quality information and the time information to the GIS platform;
when the tracing module in the GIS platform is started,the uploading frequency of the detection data of the general detection module and the sorting module in the water quality detection unit is improved, and the preset time T is1In the method, according to the detected abnormal information and the information contrast analysis of a related pollution information model database in a cloud module system, the probability of the possible positions of a pollution source is graded in an off-line contrast analysis mode, a computing unit in a tracing module is started from high to low according to the probability grade, the related water quality monitoring points are detected by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and the preset time T is used2And (3) establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by the water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source in the pollution source tracing model, and acquiring pollutant emission tracing information.
3. The rain and sewage pipe network traceability tracking system of claim 2, wherein the preset time T is2A pollution source traceability model is built for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, traceability tracking of the position of a pollution source is carried out through a strategic management and control calculation model, and meanwhile, weather change factors, geographic position correction factors and environment temperature correction factors are introduced to dynamically correct the analysis result of the pollution source traceability model.
4. The system according to claim 3, wherein the general inspection module is arranged at a distance before the pipe network enters the river surge according to a preset time T3The detection data are uploaded to the cloud module system, the water flow direction river with qualified water quality data is detected and analyzed through the general detection module, the water flow direction reservoir with unqualified water quality data is analyzed through the general detection module, and the detection water in the reservoir flows to a sewage treatment plant.
5. The rain and sewage pipe network tracing system according to claim 3, wherein said sorting module comprises a first-level sorting module and a second-level sorting module, said first-level sorting module comprises a water quality and quantity detection device arranged in a first-level pipeline or a second-level pipeline, said water quality and quantity detection device of said first-level sorting module can detect pH value, conductivity, temperature, turbidity, chemical oxygen demand and flow information, said second-level sorting module comprises a water quality and quantity detection device arranged at the connection of main pipeline or main pipeline and first-level pipeline or the connection of main pipeline and second-level pipeline, said second-level sorting module can detect pH value, conductivity, temperature, turbidity, chemical oxygen demand, flow information and peripheral common pollutant detection module.
6. A rain and sewage pipe network source tracing method is applied to the rain and sewage pipe network source tracing system according to any one of the claims 1 to 5, and comprises the following steps:
s1: a cloud module system is constructed, and a geographic position database, an enterprise name list database, a daily normal discharge threshold value information database of main pollutants of the corresponding pipe network water quality and an associated pollution information model database are constructed in the cloud module system;
s2: collecting basic data of a pipe network, butting data of a geographic information platform and municipal rainwater and sewage pipe networks, constructing a rainwater and sewage pipe network visual model, determining a transmission path and nodes of the pipe network, carrying out four-stage division on a topological structure of the rainwater and sewage pipe network, arranging a sorting module in a primary pipeline system and/or a secondary pipeline system and/or a main pipeline system, arranging a general inspection module in a main pipeline system, wherein the general inspection module and the sorting module are used for detecting water quality and water quantity information of a monitoring part in the rainwater and sewage pipe and can upload the information to a cloud module system;
s3: the GIS platform compares the detection of the water quality detection unit fed back by the cloud module system with a normal parameter threshold preset in a daily normal discharge threshold information database of main pollutants of the water quality of the corresponding pipe network, and if the detected water quality is abnormal, the GIS platform enters S4, otherwise, the GIS platform enters S6;
s4: the source tracing module in the GIS platform is started, the uploading frequency of the detection data of the general detection module and the sorting module in the water quality detection unit is improved, and the preset time T is1According to the detected abnormal information and cloud modelCarrying out information comparison and analysis on a correlation pollution information model database in a block system, and grading the probability of possible positions of a pollution source in an off-line comparison and analysis mode;
s5: starting a calculating unit in the tracing module from high to low according to the probability grade, detecting related water quality monitoring points by starting a pipeline in the current probability grade and a detection sensor of a water quality detection unit on an upstream pipeline, and detecting the related water quality monitoring points according to the preset time T2Establishing a pollution source tracing model for actually measured values and analog values of pollutants detected by water quality monitoring points at different moments, analyzing and calculating the position, leakage time and leakage amount information of the pollution source tracing model, and acquiring pollutant emission tracing information;
s6: and discharging the detected normal water into a river system according to the requirement.
7. The rain and sewage pipe network tracing method according to claim 6, wherein in step S2, the total inspection module is according to the preset time T3Uploading detection data to a cloud module system, and enabling a sorting module to perform sorting according to preset time T4Uploading detection data to a cloud module system, wherein T3＜T4。
8. The rain and sewage pipe network tracing method according to claim 7, wherein in step S2, said sorting module comprises a primary sorting module and a secondary sorting module, at least one primary sorting module and at least one secondary sorting module are according to a preset time T3And uploading the detection data to the cloud module system.
9. The method for tracing the source of the rainstorm sewer according to claim 8, wherein in step S4, the correlation pollution information model database includes the threshold range and the variation curve within the preset time of the detection data in the water quality detection unit after the previous pollutant discharge, and further includes the threshold range and the variation curve within the preset time of the detection data in the water quality detection unit after the pollutant discharge, which are learned according to the sample training, at T1In time, dividing the probability of the possible existing position of a pollution source into four levels of I, II, III and IV by adopting an off-line comparison analysis mode and combining enterprise information corresponding to the overproof pollutant detection in a rainwater and sewage pipe network visualization model, wherein the level I is the level with the highest probability of the existing position of the pollution source, and the enterprises corresponding to the pollutant, the change threshold of the detection values of a total inspection module and a classification module of a water quality detection unit and the change curve of the detection values of the total inspection module and the classification module of the water quality detection unit correspond to the information in an associated pollution information model database; the level II is a level with higher probability of the position of the pollution source, and two of change curves of detection values of the enterprise and the water quality detection unit corresponding to the pollutants, the total detection module and the classification module of the water quality detection unit correspond to information in the associated pollution information model database; the grade III is a grade with lower probability of the position of the pollution source, and one of the change curves of the detection values of the enterprise and the water quality detection unit, which correspond to the pollutants, the total detection module and the classification module of the water quality detection unit corresponds to the information in the associated pollution information model database; and the IV grade is a grade with lower probability of possibly generating the position of the pollution source, and the position where the pollution source possibly exists is listed by the associated pollution information model database according to the detected pollutant information and the change curve after training and learning.
10. The method for tracing the source of the rain and sewage pipe network according to claim 9, wherein in step S5, when the pollutant emission tracing information is obtained according to the solving calculation, the emission tracing information is highlighted in the general inspection module, the classification module and the related pipeline of the related water quality detection unit in the rain and sewage pipe network visualization model, and the variation curve of the pollutant concentration of the nodes of the related general inspection module and the classification module is given, if the variation range of the variation curve is consistent with the variation trend of the related pollution source pre-stored in the related pollution information model database within the same time after the emission, the variation range is close, that is, the pollutant emission tracing information is determined to be the same as the pollutant emission tracing informationReal pollutant emission traceability information; if only one of the variation amplitude and the variation trend is matched, determining that the pollutant emission traceability information is high-probability pollutant emission traceability information; if the variation amplitude and the variation trend are not matched, determining that the pollutant emission traceability information is low-probability pollutant emission traceability information, and if the preset time T is up5And if the true pollutant emission traceability information cannot be obtained, manually sampling and detecting the water sample at the high-probability pollutant emission traceability information and/or the low-probability pollutant emission traceability information.
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